Overview

Brought to you by YData

Dataset statistics

Number of variables27
Number of observations8784
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory216.0 B

Variable types

Numeric25
Categorical2

Alerts

AT (°C) is highly overall correlated with NH3 (µg/m³) and 2 other fieldsHigh correlation
BP (mmHg) is highly overall correlated with NH3 (µg/m³) and 4 other fieldsHigh correlation
Benzene (µg/m³) is highly overall correlated with NO2 (µg/m³) and 4 other fieldsHigh correlation
NH3 (µg/m³) is highly overall correlated with AT (°C) and 3 other fieldsHigh correlation
NO (µg/m³) is highly overall correlated with NOx (ppb) and 1 other fieldsHigh correlation
NO2 (µg/m³) is highly overall correlated with Benzene (µg/m³) and 4 other fieldsHigh correlation
NOx (ppb) is highly overall correlated with NH3 (µg/m³) and 3 other fieldsHigh correlation
PM10 (µg/m³) is highly overall correlated with PM2.5 (µg/m³)High correlation
PM2.5 (µg/m³) is highly overall correlated with PM10 (µg/m³)High correlation
SR (W/mt2) is highly overall correlated with Xylene (µg/m³) and 1 other fieldsHigh correlation
Toluene (µg/m³) is highly overall correlated with Benzene (µg/m³) and 4 other fieldsHigh correlation
Xylene (µg/m³) is highly overall correlated with NO (µg/m³) and 1 other fieldsHigh correlation
day-of-week is highly overall correlated with is_weekendHigh correlation
day-of-year is highly overall correlated with BP (mmHg) and 5 other fieldsHigh correlation
dewpoint is highly overall correlated with AT (°C) and 7 other fieldsHigh correlation
is_weekend is highly overall correlated with day-of-weekHigh correlation
month is highly overall correlated with BP (mmHg) and 5 other fieldsHigh correlation
quarter is highly overall correlated with AT (°C) and 5 other fieldsHigh correlation
total_cloud_cover is highly overall correlated with total_precipitationHigh correlation
total_precipitation is highly overall correlated with total_cloud_coverHigh correlation
u_comp_wind is highly overall correlated with SR (W/mt2)High correlation
Benzene (µg/m³) has 1282 (14.6%) zeros Zeros
Toluene (µg/m³) has 1281 (14.6%) zeros Zeros
VWS (m/s) has 206 (2.3%) zeros Zeros
total_cloud_cover has 2602 (29.6%) zeros Zeros
total_precipitation has 5837 (66.5%) zeros Zeros
hour has 366 (4.2%) zeros Zeros
day-of-week has 1272 (14.5%) zeros Zeros

Reproduction

Analysis started2025-09-25 11:18:43.324025
Analysis finished2025-09-25 11:19:17.187882
Duration33.86 seconds
Software versionydata-profiling v4.16.1
Download configurationconfig.json

Variables

PM2.5 (µg/m³)
Real number (ℝ)

High correlation 

Distinct2852
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.659811
Minimum1
Maximum996
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.231954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q132
median60.25
Q3132
95-th percentile276
Maximum996
Range995
Interquartile range (IQR)100

Descriptive statistics

Standard deviation94.440183
Coefficient of variation (CV)0.98725037
Kurtosis7.861575
Mean95.659811
Median Absolute Deviation (MAD)35.377846
Skewness2.2452562
Sum840275.78
Variance8918.9482
MonotonicityNot monotonic
2025-09-25T16:49:17.299625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 85
 
1.0%
28 67
 
0.8%
48 64
 
0.7%
33 63
 
0.7%
34 63
 
0.7%
31 60
 
0.7%
22 58
 
0.7%
32 57
 
0.6%
26 57
 
0.6%
38 56
 
0.6%
Other values (2842) 8154
92.8%
ValueCountFrequency (%)
1 15
0.2%
2 11
0.1%
2.26523374 1
 
< 0.1%
2.70732647 1
 
< 0.1%
3 17
0.2%
3.124546854 1
 
< 0.1%
4 14
0.2%
4.291878507 1
 
< 0.1%
4.630261964 1
 
< 0.1%
4.833941491 1
 
< 0.1%
ValueCountFrequency (%)
996 1
< 0.1%
887 1
< 0.1%
854 1
< 0.1%
786 1
< 0.1%
764 1
< 0.1%
762 1
< 0.1%
741 2
< 0.1%
711 1
< 0.1%
695 1
< 0.1%
682 1
< 0.1%

PM10 (µg/m³)
Real number (ℝ)

High correlation 

Distinct2615
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.80623
Minimum2
Maximum979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.361983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile34
Q178.618394
median129.19565
Q3206.95999
95-th percentile371.7125
Maximum979
Range977
Interquartile range (IQR)128.34159

Descriptive statistics

Standard deviation113.25709
Coefficient of variation (CV)0.71769719
Kurtosis5.0469856
Mean157.80623
Median Absolute Deviation (MAD)60.195653
Skewness1.7780377
Sum1386170
Variance12827.169
MonotonicityNot monotonic
2025-09-25T16:49:17.422771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 45
 
0.5%
102 44
 
0.5%
86 43
 
0.5%
84 42
 
0.5%
56 42
 
0.5%
52 42
 
0.5%
81 41
 
0.5%
90 40
 
0.5%
97 40
 
0.5%
106 39
 
0.4%
Other values (2605) 8366
95.2%
ValueCountFrequency (%)
2 5
0.1%
3 7
0.1%
5 3
 
< 0.1%
6 2
 
< 0.1%
7 8
0.1%
8 5
0.1%
9 1
 
< 0.1%
9.328163694 1
 
< 0.1%
11 8
0.1%
12 11
0.1%
ValueCountFrequency (%)
979 1
< 0.1%
954 1
< 0.1%
925 1
< 0.1%
920 1
< 0.1%
885 1
< 0.1%
862 1
< 0.1%
856 1
< 0.1%
844.25 1
< 0.1%
832 1
< 0.1%
803 1
< 0.1%

NO (µg/m³)
Real number (ℝ)

High correlation 

Distinct4518
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.46997
Minimum0.55
Maximum358.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.481497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.55
5-th percentile3.98
Q114.9
median32.83
Q359.5275
95-th percentile112.4245
Maximum358.02
Range357.47
Interquartile range (IQR)44.6275

Descriptive statistics

Standard deviation37.82498
Coefficient of variation (CV)0.89062884
Kurtosis6.5559875
Mean42.46997
Median Absolute Deviation (MAD)20.725881
Skewness1.9791904
Sum373056.22
Variance1430.7291
MonotonicityNot monotonic
2025-09-25T16:49:17.544922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8 14
 
0.2%
5 11
 
0.1%
3.1 10
 
0.1%
4.1 10
 
0.1%
32.55 10
 
0.1%
4.03 9
 
0.1%
20.4 9
 
0.1%
12.1 9
 
0.1%
8.6 9
 
0.1%
14.75 9
 
0.1%
Other values (4508) 8684
98.9%
ValueCountFrequency (%)
0.55 1
< 0.1%
0.6 1
< 0.1%
0.75 1
< 0.1%
0.83 1
< 0.1%
0.9 1
< 0.1%
0.95 1
< 0.1%
1 1
< 0.1%
1.13 1
< 0.1%
1.15 2
< 0.1%
1.17 1
< 0.1%
ValueCountFrequency (%)
358.02 1
< 0.1%
333.7 1
< 0.1%
332.88 1
< 0.1%
324.08 1
< 0.1%
318.38 1
< 0.1%
308.3 1
< 0.1%
282.08 1
< 0.1%
280.48 1
< 0.1%
277.15 1
< 0.1%
272.1 1
< 0.1%

NO2 (µg/m³)
Real number (ℝ)

High correlation 

Distinct4482
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.374337
Minimum2.3
Maximum187.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.607925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile32.42
Q147.15
median71.25
Q392.32
95-th percentile121.4925
Maximum187.32
Range185.02
Interquartile range (IQR)45.17

Descriptive statistics

Standard deviation29.667816
Coefficient of variation (CV)0.40992176
Kurtosis0.16323151
Mean72.374337
Median Absolute Deviation (MAD)22.95
Skewness0.53956532
Sum635736.17
Variance880.17929
MonotonicityNot monotonic
2025-09-25T16:49:17.672229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.08 11
 
0.1%
42.1 11
 
0.1%
42.45 10
 
0.1%
44.55 10
 
0.1%
47.6 10
 
0.1%
47.15 10
 
0.1%
44.18 10
 
0.1%
43.72 9
 
0.1%
43.3 9
 
0.1%
42.82 9
 
0.1%
Other values (4472) 8685
98.9%
ValueCountFrequency (%)
2.3 1
< 0.1%
6.8 1
< 0.1%
8.35 1
< 0.1%
9.85 1
< 0.1%
13.85 1
< 0.1%
14.15 1
< 0.1%
15.3 1
< 0.1%
15.462346 1
< 0.1%
15.48 1
< 0.1%
15.6 1
< 0.1%
ValueCountFrequency (%)
187.32 1
< 0.1%
186.42 1
< 0.1%
183.52 1
< 0.1%
181.1 1
< 0.1%
180.85 1
< 0.1%
180.2 1
< 0.1%
179.72 1
< 0.1%
177.65 1
< 0.1%
177.42 1
< 0.1%
176 1
< 0.1%

NOx (ppb)
Real number (ℝ)

High correlation 

Distinct4609
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.579862
Minimum0
Maximum352.4
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.735605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.7545
Q147.95
median70.21
Q388.9
95-th percentile137.32
Maximum352.4
Range352.4
Interquartile range (IQR)40.95

Descriptive statistics

Standard deviation35.011534
Coefficient of variation (CV)0.47583039
Kurtosis4.6355388
Mean73.579862
Median Absolute Deviation (MAD)20.876728
Skewness1.5166665
Sum646325.5
Variance1225.8075
MonotonicityNot monotonic
2025-09-25T16:49:17.797664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
0.1%
77.78 9
 
0.1%
81.9 9
 
0.1%
40 9
 
0.1%
80.85 9
 
0.1%
36.3 8
 
0.1%
44.05 8
 
0.1%
66.35 8
 
0.1%
94.4 8
 
0.1%
33.95 8
 
0.1%
Other values (4599) 8698
99.0%
ValueCountFrequency (%)
0 10
0.1%
5.57 1
 
< 0.1%
5.8 1
 
< 0.1%
9.1 1
 
< 0.1%
11.9 1
 
< 0.1%
11.98 1
 
< 0.1%
13.1 1
 
< 0.1%
14.2 1
 
< 0.1%
14.58 1
 
< 0.1%
15.55 1
 
< 0.1%
ValueCountFrequency (%)
352.4 1
< 0.1%
334.4 1
< 0.1%
329.42 1
< 0.1%
312.02 1
< 0.1%
309.25 1
< 0.1%
303.77 1
< 0.1%
277.27 1
< 0.1%
276 1
< 0.1%
270.4 1
< 0.1%
268.92 1
< 0.1%

NH3 (µg/m³)
Real number (ℝ)

High correlation 

Distinct3367
Distinct (%)38.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.739738
Minimum8.5
Maximum104.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.860540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum8.5
5-th percentile13.38
Q119.3
median27.52
Q342.135
95-th percentile73.58
Maximum104.1
Range95.6
Interquartile range (IQR)22.835

Descriptive statistics

Standard deviation18.980444
Coefficient of variation (CV)0.56255458
Kurtosis0.12594578
Mean33.739738
Median Absolute Deviation (MAD)9.82
Skewness1.0708339
Sum296369.85
Variance360.25725
MonotonicityNot monotonic
2025-09-25T16:49:17.921975image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 18
 
0.2%
16.7 17
 
0.2%
17.15 15
 
0.2%
19.02 14
 
0.2%
16.3 13
 
0.1%
25.52 13
 
0.1%
14.55 13
 
0.1%
24.02 12
 
0.1%
18.15 12
 
0.1%
19.18 12
 
0.1%
Other values (3357) 8645
98.4%
ValueCountFrequency (%)
8.5 1
< 0.1%
8.82 1
< 0.1%
9.18 1
< 0.1%
9.35 1
< 0.1%
9.43 1
< 0.1%
9.57 1
< 0.1%
9.6 1
< 0.1%
9.62 1
< 0.1%
9.7 1
< 0.1%
9.72 1
< 0.1%
ValueCountFrequency (%)
104.1 1
< 0.1%
96.88 1
< 0.1%
96.8 1
< 0.1%
91.28 1
< 0.1%
90 1
< 0.1%
89.9 1
< 0.1%
89.5 1
< 0.1%
89.38 1
< 0.1%
89.35 1
< 0.1%
89.15 1
< 0.1%

SO2 (µg/m³)
Real number (ℝ)

Distinct1900
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5049054
Minimum0.3
Maximum171.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:17.980561image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile2.5
Q15.3
median7
Q39.1379035
95-th percentile13.417
Maximum171.42
Range171.12
Interquartile range (IQR)3.8379035

Descriptive statistics

Standard deviation4.4148168
Coefficient of variation (CV)0.58825749
Kurtosis326.97744
Mean7.5049054
Median Absolute Deviation (MAD)1.9
Skewness11.037533
Sum65923.089
Variance19.490607
MonotonicityNot monotonic
2025-09-25T16:49:18.043353image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.6 75
 
0.9%
6.3 71
 
0.8%
7 59
 
0.7%
5.5 59
 
0.7%
6.57 57
 
0.6%
5.9 49
 
0.6%
7.07 49
 
0.6%
6.88 47
 
0.5%
6.9 45
 
0.5%
6.22 45
 
0.5%
Other values (1890) 8228
93.7%
ValueCountFrequency (%)
0.3 16
0.2%
0.32 1
 
< 0.1%
0.35 1
 
< 0.1%
0.4 4
 
< 0.1%
0.48 1
 
< 0.1%
0.5 11
0.1%
0.52 1
 
< 0.1%
0.53 2
 
< 0.1%
0.55 4
 
< 0.1%
0.57 2
 
< 0.1%
ValueCountFrequency (%)
171.42 1
< 0.1%
137.3 1
< 0.1%
85.33 1
< 0.1%
79.78 1
< 0.1%
65.43 1
< 0.1%
56.07 1
< 0.1%
37.9 1
< 0.1%
37.85 1
< 0.1%
37.83 1
< 0.1%
36.77 1
< 0.1%

CO (mg/m³)
Real number (ℝ)

Distinct1360
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0987578
Minimum0
Maximum6.89
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:18.106604image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.66
median0.92
Q31.38
95-th percentile2.4085
Maximum6.89
Range6.89
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation0.69169199
Coefficient of variation (CV)0.62952183
Kurtosis4.923228
Mean1.0987578
Median Absolute Deviation (MAD)0.32
Skewness1.7613102
Sum9651.4882
Variance0.47843781
MonotonicityNot monotonic
2025-09-25T16:49:18.169240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72 111
 
1.3%
0.78 105
 
1.2%
0.62 101
 
1.1%
0.76 98
 
1.1%
0.68 97
 
1.1%
0.8 94
 
1.1%
0.6 90
 
1.0%
0.7 90
 
1.0%
0.66 86
 
1.0%
0.82 85
 
1.0%
Other values (1350) 7827
89.1%
ValueCountFrequency (%)
0 17
0.2%
0.01 5
 
0.1%
0.02 16
0.2%
0.03 13
0.1%
0.04 10
0.1%
0.05 19
0.2%
0.06 15
0.2%
0.07 7
 
0.1%
0.08 20
0.2%
0.09 5
 
0.1%
ValueCountFrequency (%)
6.89 1
< 0.1%
6.42 1
< 0.1%
5.96 1
< 0.1%
5.78 1
< 0.1%
5.52 1
< 0.1%
5.07 1
< 0.1%
4.78 1
< 0.1%
4.7 1
< 0.1%
4.68 1
< 0.1%
4.66 1
< 0.1%

Ozone (µg/m³)
Real number (ℝ)

Distinct3651
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.386288
Minimum0.2
Maximum288.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:18.233219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile1.4
Q16.88
median14.104468
Q329.08
95-th percentile73.35
Maximum288.6
Range288.4
Interquartile range (IQR)22.2

Descriptive statistics

Standard deviation24.00841
Coefficient of variation (CV)1.0724605
Kurtosis7.1132621
Mean22.386288
Median Absolute Deviation (MAD)9.7844679
Skewness2.1936166
Sum196641.15
Variance576.40374
MonotonicityNot monotonic
2025-09-25T16:49:18.293841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 81
 
0.9%
10 54
 
0.6%
0.8 33
 
0.4%
0.2 29
 
0.3%
1 28
 
0.3%
1.4 28
 
0.3%
0.4 27
 
0.3%
0.6 27
 
0.3%
9.95 23
 
0.3%
1.8 23
 
0.3%
Other values (3641) 8431
96.0%
ValueCountFrequency (%)
0.2 29
0.3%
0.27 1
 
< 0.1%
0.3 4
 
< 0.1%
0.33 3
 
< 0.1%
0.35 2
 
< 0.1%
0.4 27
0.3%
0.45 2
 
< 0.1%
0.47 7
 
0.1%
0.5 10
 
0.1%
0.5257543408 1
 
< 0.1%
ValueCountFrequency (%)
288.6 1
< 0.1%
227.85 1
< 0.1%
186.78 1
< 0.1%
183.5 1
< 0.1%
181.4 1
< 0.1%
178.9 1
< 0.1%
169.35 1
< 0.1%
165.65 1
< 0.1%
165.2 1
< 0.1%
162.18 1
< 0.1%

Benzene (µg/m³)
Real number (ℝ)

High correlation  Zeros 

Distinct4835
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2537003
Minimum0
Maximum18.85
Zeros1282
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:18.355073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.15588823
median0.77494458
Q31.7
95-th percentile4.45
Maximum18.85
Range18.85
Interquartile range (IQR)1.5441118

Descriptive statistics

Standard deviation1.5613969
Coefficient of variation (CV)1.2454307
Kurtosis10.928491
Mean1.2537003
Median Absolute Deviation (MAD)0.66913116
Skewness2.5580713
Sum11012.503
Variance2.4379601
MonotonicityNot monotonic
2025-09-25T16:49:18.418758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1282
 
14.6%
0.1 147
 
1.7%
0.1 48
 
0.5%
0.1 43
 
0.5%
1.15 35
 
0.4%
0.2 34
 
0.4%
1.9 33
 
0.4%
1.45 30
 
0.3%
1.2 29
 
0.3%
1.6 29
 
0.3%
Other values (4825) 7074
80.5%
ValueCountFrequency (%)
0 1282
14.6%
0.02067725124 1
 
< 0.1%
0.0218310461 1
 
< 0.1%
0.02194810327 1
 
< 0.1%
0.02199794185 1
 
< 0.1%
0.02239644229 1
 
< 0.1%
0.02245595822 1
 
< 0.1%
0.02277772058 1
 
< 0.1%
0.0229582682 1
 
< 0.1%
0.02321086185 1
 
< 0.1%
ValueCountFrequency (%)
18.85 1
< 0.1%
18.33 1
< 0.1%
15.75 1
< 0.1%
15.32 1
< 0.1%
13.5 1
< 0.1%
12.05 1
< 0.1%
11.82 1
< 0.1%
10.88 1
< 0.1%
10.8 1
< 0.1%
10.68 1
< 0.1%

Toluene (µg/m³)
Real number (ℝ)

High correlation  Zeros 

Distinct5329
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3299769
Minimum0
Maximum40.22
Zeros1281
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:18.484017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.8
median2.3529654
Q34.53
95-th percentile10.95
Maximum40.22
Range40.22
Interquartile range (IQR)3.73

Descriptive statistics

Standard deviation3.7032432
Coefficient of variation (CV)1.1120928
Kurtosis8.5182229
Mean3.3299769
Median Absolute Deviation (MAD)1.7002143
Skewness2.3369269
Sum29250.517
Variance13.71401
MonotonicityNot monotonic
2025-09-25T16:49:18.877897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1281
 
14.6%
2.52 20
 
0.2%
1.78 20
 
0.2%
1.9 19
 
0.2%
1.5 18
 
0.2%
0.9 17
 
0.2%
1.72 17
 
0.2%
2.6 17
 
0.2%
2.05 16
 
0.2%
2.2 16
 
0.2%
Other values (5319) 7343
83.6%
ValueCountFrequency (%)
0 1281
14.6%
0.06584430982 1
 
< 0.1%
0.06833316175 1
 
< 0.1%
0.07013813754 1
 
< 0.1%
0.07118905081 1
 
< 0.1%
0.07561692876 1
 
< 0.1%
0.07641564605 1
 
< 0.1%
0.07739707502 1
 
< 0.1%
0.08732418442 1
 
< 0.1%
0.09304763057 1
 
< 0.1%
ValueCountFrequency (%)
40.22 1
< 0.1%
37.88 1
< 0.1%
36.4 1
< 0.1%
34.55 1
< 0.1%
32.62 1
< 0.1%
29 1
< 0.1%
28.08 1
< 0.1%
27.7 1
< 0.1%
24.88 1
< 0.1%
24.7 1
< 0.1%

Xylene (µg/m³)
Real number (ℝ)

High correlation 

Distinct8620
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34363199
Minimum0.02
Maximum1.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:18.939299image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.21000328
Q10.24255721
median0.28277329
Q30.36235122
95-th percentile0.69500214
Maximum1.68
Range1.66
Interquartile range (IQR)0.11979401

Descriptive statistics

Standard deviation0.17430661
Coefficient of variation (CV)0.50724792
Kurtosis10.975649
Mean0.34363199
Median Absolute Deviation (MAD)0.047969157
Skewness2.8661131
Sum3018.4634
Variance0.030382795
MonotonicityNot monotonic
2025-09-25T16:49:19.001618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3 23
 
0.3%
0.12 13
 
0.1%
0.2 13
 
0.1%
0.15 12
 
0.1%
0.32 10
 
0.1%
0.22 9
 
0.1%
0.35 9
 
0.1%
0.25 9
 
0.1%
0.43 8
 
0.1%
0.38 8
 
0.1%
Other values (8610) 8670
98.7%
ValueCountFrequency (%)
0.02 1
 
< 0.1%
0.05 1
 
< 0.1%
0.08 2
 
< 0.1%
0.09882210345 1
 
< 0.1%
0.09925595736 1
 
< 0.1%
0.1 7
0.1%
0.1014321068 1
 
< 0.1%
0.105068669 1
 
< 0.1%
0.105140359 1
 
< 0.1%
0.1061305801 1
 
< 0.1%
ValueCountFrequency (%)
1.68 1
< 0.1%
1.65 1
< 0.1%
1.475268334 1
< 0.1%
1.473441388 1
< 0.1%
1.473110642 1
< 0.1%
1.472856077 1
< 0.1%
1.47279289 1
< 0.1%
1.472417614 1
< 0.1%
1.409488193 1
< 0.1%
1.409234208 1
< 0.1%

AT (°C)
Real number (ℝ)

High correlation 

Distinct2498
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.002468
Minimum0.95
Maximum49.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:19.066698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0.95
5-th percentile7.22
Q119.32
median28.28
Q329.5
95-th percentile38.929259
Maximum49.8
Range48.85
Interquartile range (IQR)10.18

Descriptive statistics

Standard deviation9.120964
Coefficient of variation (CV)0.36480255
Kurtosis-0.042764859
Mean25.002468
Median Absolute Deviation (MAD)3.57
Skewness-0.48396142
Sum219621.67
Variance83.191984
MonotonicityNot monotonic
2025-09-25T16:49:19.134807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 152
 
1.7%
28.9 129
 
1.5%
29.1 125
 
1.4%
29.2 81
 
0.9%
29.3 73
 
0.8%
28.8 69
 
0.8%
28.7 61
 
0.7%
29.4 58
 
0.7%
28.3 50
 
0.6%
28.5 49
 
0.6%
Other values (2488) 7937
90.4%
ValueCountFrequency (%)
0.95 1
 
< 0.1%
1.2 1
 
< 0.1%
1.62 1
 
< 0.1%
1.68 3
< 0.1%
1.72 1
 
< 0.1%
1.88 1
 
< 0.1%
1.92 2
< 0.1%
1.95 1
 
< 0.1%
1.98 2
< 0.1%
2 1
 
< 0.1%
ValueCountFrequency (%)
49.8 1
 
< 0.1%
49.7 3
< 0.1%
49.6 2
< 0.1%
49.45 1
 
< 0.1%
49.15 2
< 0.1%
49.12 1
 
< 0.1%
49.1 2
< 0.1%
49.08 1
 
< 0.1%
49.02 1
 
< 0.1%
49 1
 
< 0.1%

SR (W/mt2)
Real number (ℝ)

High correlation 

Distinct2665
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.984836
Minimum1
Maximum457.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:19.202772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median11
Q365.8125
95-th percentile321.5
Maximum457.75
Range456.75
Interquartile range (IQR)59.8125

Descriptive statistics

Standard deviation99.368831
Coefficient of variation (CV)1.6294023
Kurtosis3.3039599
Mean60.984836
Median Absolute Deviation (MAD)8.6533722
Skewness2.0659801
Sum535690.8
Variance9874.1646
MonotonicityNot monotonic
2025-09-25T16:49:19.273600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 445
 
5.1%
8 368
 
4.2%
5 283
 
3.2%
7 270
 
3.1%
6 196
 
2.2%
2 165
 
1.9%
4 137
 
1.6%
3 125
 
1.4%
9 103
 
1.2%
6.75 102
 
1.2%
Other values (2655) 6590
75.0%
ValueCountFrequency (%)
1 445
5.1%
1.047008624 1
 
< 0.1%
1.056925153 1
 
< 0.1%
1.061185689 1
 
< 0.1%
1.090077535 1
 
< 0.1%
1.124997657 1
 
< 0.1%
1.125252252 1
 
< 0.1%
1.127103645 1
 
< 0.1%
1.168558654 1
 
< 0.1%
1.174796453 1
 
< 0.1%
ValueCountFrequency (%)
457.75 1
< 0.1%
453.75 2
< 0.1%
450 1
< 0.1%
447.5 1
< 0.1%
445.5 1
< 0.1%
444.25 1
< 0.1%
443 1
< 0.1%
437.75 1
< 0.1%
437 1
< 0.1%
436.75 1
< 0.1%

BP (mmHg)
Real number (ℝ)

High correlation 

Distinct556
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean983.47166
Minimum971
Maximum988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:19.334715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum971
5-th percentile975.1458
Q1977
median986
Q3986
95-th percentile987
Maximum988
Range17
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.5190943
Coefficient of variation (CV)0.0045950428
Kurtosis-0.69720714
Mean983.47166
Median Absolute Deviation (MAD)0.11680628
Skewness-1.1076474
Sum8638815.1
Variance20.422214
MonotonicityNot monotonic
2025-09-25T16:49:19.395806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
986 4213
48.0%
976 878
 
10.0%
987 747
 
8.5%
975 405
 
4.6%
985 236
 
2.7%
977 187
 
2.1%
986.25 159
 
1.8%
975.25 153
 
1.7%
986.5 142
 
1.6%
975.75 122
 
1.4%
Other values (546) 1542
 
17.6%
ValueCountFrequency (%)
971 1
 
< 0.1%
972 1
 
< 0.1%
972.5 1
 
< 0.1%
973 1
 
< 0.1%
973.75 1
 
< 0.1%
974 17
 
0.2%
974.5 4
 
< 0.1%
974.75 5
 
0.1%
975 1
 
< 0.1%
975 405
4.6%
ValueCountFrequency (%)
988 36
0.4%
987.75 1
 
< 0.1%
987.5215924 1
 
< 0.1%
987.5 2
 
< 0.1%
987.4980024 1
 
< 0.1%
987.4854122 1
 
< 0.1%
987.4843855 1
 
< 0.1%
987.4827666 1
 
< 0.1%
987.2728473 1
 
< 0.1%
987.2501323 1
 
< 0.1%

VWS (m/s)
Real number (ℝ)

Zeros 

Distinct99
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.020079012
Minimum-0.03
Maximum0
Zeros206
Zeros (%)2.3%
Negative8578
Negative (%)97.7%
Memory size68.8 KiB
2025-09-25T16:49:19.457464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.03
5-th percentile-0.03
Q1-0.02
median-0.02
Q3-0.02
95-th percentile-0.02
Maximum0
Range0.03
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.0038379191
Coefficient of variation (CV)-0.19114083
Kurtosis16.937974
Mean-0.020079012
Median Absolute Deviation (MAD)0
Skewness2.4576078
Sum-176.37404
Variance1.4729623 × 10-5
MonotonicityNot monotonic
2025-09-25T16:49:19.521986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02 7724
87.9%
-0.03 458
 
5.2%
0 206
 
2.3%
-0.02 164
 
1.9%
-0.02 134
 
1.5%
-0.01 3
 
< 0.1%
-0.02 3
 
< 0.1%
-0.02222466233 1
 
< 0.1%
-0.02227650799 1
 
< 0.1%
-0.02249019542 1
 
< 0.1%
Other values (89) 89
 
1.0%
ValueCountFrequency (%)
-0.03 458
5.2%
-0.02798256764 1
 
< 0.1%
-0.02747641299 1
 
< 0.1%
-0.02611314632 1
 
< 0.1%
-0.02565805902 1
 
< 0.1%
-0.0254401693 1
 
< 0.1%
-0.02500009466 1
 
< 0.1%
-0.025 1
 
< 0.1%
-0.025 1
 
< 0.1%
-0.025 1
 
< 0.1%
ValueCountFrequency (%)
0 206
 
2.3%
-0.01 3
 
< 0.1%
-0.01675045116 1
 
< 0.1%
-0.02 1
 
< 0.1%
-0.02 164
 
1.9%
-0.02 7724
87.9%
-0.02 134
 
1.5%
-0.02 3
 
< 0.1%
-0.02156110937 1
 
< 0.1%
-0.02172780852 1
 
< 0.1%

total_cloud_cover
Real number (ℝ)

High correlation  Zeros 

Distinct5095
Distinct (%)58.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3506111
Minimum0
Maximum1
Zeros2602
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:19.591321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.13781165
Q30.76590198
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0.76590198

Descriptive statistics

Standard deviation0.39516608
Coefficient of variation (CV)1.1270781
Kurtosis-1.3143423
Mean0.3506111
Median Absolute Deviation (MAD)0.13781165
Skewness0.61582754
Sum3079.7679
Variance0.15615623
MonotonicityNot monotonic
2025-09-25T16:49:19.659427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2602
29.6%
1 518
 
5.9%
0.0001210101153 46
 
0.5%
0.999878994 27
 
0.3%
0.0001210060405 23
 
0.3%
0.9948098378 23
 
0.3%
0.99826113 18
 
0.2%
0.0002378394589 17
 
0.2%
0.001738767099 15
 
0.2%
0.005190187887 15
 
0.2%
Other values (5085) 5480
62.4%
ValueCountFrequency (%)
0 2602
29.6%
0.0001210060405 23
 
0.3%
0.0001210101153 46
 
0.5%
0.0001543870172 3
 
< 0.1%
0.0001543951668 4
 
< 0.1%
0.0002378394589 17
 
0.2%
0.0002378516833 13
 
0.1%
0.0002753930576 1
 
< 0.1%
0.0002754052821 8
 
0.1%
0.0003046014122 1
 
< 0.1%
ValueCountFrequency (%)
1 518
5.9%
0.999878994 27
 
0.3%
0.999845613 2
 
< 0.1%
0.9998456048 5
 
0.1%
0.9997621605 3
 
< 0.1%
0.9997621442 7
 
0.1%
0.9997245906 3
 
< 0.1%
0.9996953986 1
 
< 0.1%
0.9996953823 2
 
< 0.1%
0.9996411382 4
 
< 0.1%

total_precipitation
Real number (ℝ)

High correlation  Zeros 

Distinct2184
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00010494155
Minimum0
Maximum0.013264756
Zeros5837
Zeros (%)66.5%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:19.721919image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.5234032 × 10-7
95-th percentile0.00041751738
Maximum0.013264756
Range0.013264756
Interquartile range (IQR)1.5234032 × 10-7

Descriptive statistics

Standard deviation0.00058846234
Coefficient of variation (CV)5.6075246
Kurtosis166.07565
Mean0.00010494155
Median Absolute Deviation (MAD)0
Skewness11.096618
Sum0.9218066
Variance3.4628793 × 10-7
MonotonicityNot monotonic
2025-09-25T16:49:19.787230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5837
66.5%
9.313225746 × 10-10364
 
4.1%
1.862645149 × 10-9330
 
3.8%
8.232798762 × 10-715
 
0.2%
1.303944402 × 10-711
 
0.1%
6.519722008 × 10-810
 
0.1%
2.607888803 × 10-76
 
0.1%
4.116399381 × 10-76
 
0.1%
7.376260385 × 10-74
 
< 0.1%
1.907348633 × 10-63
 
< 0.1%
Other values (2174) 2198
 
25.0%
ValueCountFrequency (%)
0 5837
66.5%
9.313225746 × 10-10364
 
4.1%
1.862645149 × 10-9330
 
3.8%
3.725290298 × 10-93
 
< 0.1%
5.263068069 × 10-81
 
< 0.1%
5.797889015 × 10-81
 
< 0.1%
5.80263198 × 10-81
 
< 0.1%
5.921231902 × 10-81
 
< 0.1%
5.933965734 × 10-81
 
< 0.1%
6.074037886 × 10-81
 
< 0.1%
ValueCountFrequency (%)
0.01326475611 1
< 0.1%
0.01316515059 1
< 0.1%
0.0131216431 1
< 0.1%
0.01205402054 1
< 0.1%
0.01046388353 1
< 0.1%
0.008673152137 1
< 0.1%
0.008584647835 1
< 0.1%
0.008396623803 1
< 0.1%
0.007227871248 1
< 0.1%
0.00717564458 1
< 0.1%

u_comp_wind
Real number (ℝ)

High correlation 

Distinct6559
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.40428975
Minimum-3.1698297
Maximum1.236068
Zeros0
Zeros (%)0.0%
Negative6996
Negative (%)79.6%
Memory size68.8 KiB
2025-09-25T16:49:19.848219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-3.1698297
5-th percentile-1.2822448
Q1-0.70161617
median-0.29286959
Q3-0.052004163
95-th percentile0.18507004
Maximum1.236068
Range4.4058977
Interquartile range (IQR)0.649612

Descriptive statistics

Standard deviation0.46735097
Coefficient of variation (CV)-1.1559803
Kurtosis0.79566257
Mean-0.40428975
Median Absolute Deviation (MAD)0.29822098
Skewness-0.91763273
Sum-3551.2812
Variance0.21841693
MonotonicityNot monotonic
2025-09-25T16:49:19.907611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01570078687 28
 
0.3%
0.08269120675 23
 
0.3%
0.0520944533 22
 
0.3%
0.04175193029 19
 
0.2%
0.07257656868 18
 
0.2%
0.2331437884 15
 
0.2%
-0.0585270966 14
 
0.2%
-0.1633917105 14
 
0.2%
-0.112381978 14
 
0.2%
-0.1589757793 14
 
0.2%
Other values (6549) 8603
97.9%
ValueCountFrequency (%)
-3.169829675 1
< 0.1%
-3.044764488 1
< 0.1%
-2.704120075 1
< 0.1%
-2.586918147 1
< 0.1%
-2.584815233 1
< 0.1%
-2.579442833 1
< 0.1%
-2.553656291 1
< 0.1%
-2.511038229 1
< 0.1%
-2.46071405 1
< 0.1%
-2.457347426 1
< 0.1%
ValueCountFrequency (%)
1.236067977 1
< 0.1%
0.6345073317 1
< 0.1%
0.567972926 1
< 0.1%
0.5402409956 1
< 0.1%
0.5061898121 1
< 0.1%
0.475241094 1
< 0.1%
0.4672580271 1
< 0.1%
0.4617271935 1
< 0.1%
0.4592335242 1
< 0.1%
0.4384293291 1
< 0.1%

v_comp_wind
Real number (ℝ)

Distinct6536
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.31430204
Minimum-3.989236
Maximum4.4862611
Zeros0
Zeros (%)0.0%
Negative6512
Negative (%)74.1%
Memory size68.8 KiB
2025-09-25T16:49:19.968193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-3.989236
5-th percentile-2.0013053
Q1-0.69596257
median-0.2829742
Q30.02892651
95-th percentile1.3755509
Maximum4.4862611
Range8.4754971
Interquartile range (IQR)0.72488908

Descriptive statistics

Standard deviation0.94809348
Coefficient of variation (CV)-3.0165044
Kurtosis1.5144658
Mean-0.31430204
Median Absolute Deviation (MAD)0.35535513
Skewness0.048384644
Sum-2760.8291
Variance0.89888124
MonotonicityNot monotonic
2025-09-25T16:49:20.027721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2995888604 40
 
0.5%
-0.2970804206 31
 
0.4%
-0.2983565686 24
 
0.3%
-0.2883785088 23
 
0.3%
-0.2910887179 23
 
0.3%
-0.2954423259 22
 
0.3%
-0.2977638455 20
 
0.2%
-0.2998172481 20
 
0.2%
-0.2819077862 18
 
0.2%
-0.2988584094 18
 
0.2%
Other values (6526) 8545
97.3%
ValueCountFrequency (%)
-3.989236038 1
< 0.1%
-3.965315574 1
< 0.1%
-3.955894739 1
< 0.1%
-3.804226065 1
< 0.1%
-3.734001517 1
< 0.1%
-3.634693093 1
< 0.1%
-3.581324792 1
< 0.1%
-3.529476301 1
< 0.1%
-3.444127789 1
< 0.1%
-3.435292456 1
< 0.1%
ValueCountFrequency (%)
4.486261056 1
< 0.1%
4.287168857 1
< 0.1%
4.115853679 1
< 0.1%
3.840199418 1
< 0.1%
3.801558302 1
< 0.1%
3.714453096 1
< 0.1%
3.706432816 1
< 0.1%
3.70545266 1
< 0.1%
3.686649739 1
< 0.1%
3.676579003 1
< 0.1%

hour
Real number (ℝ)

Zeros 

Distinct24
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum0
Maximum23
Zeros366
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:20.083525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.75
median11.5
Q317.25
95-th percentile22
Maximum23
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.9225806
Coefficient of variation (CV)0.60196353
Kurtosis-1.2041763
Mean11.5
Median Absolute Deviation (MAD)6
Skewness0
Sum101016
Variance47.922122
MonotonicityNot monotonic
2025-09-25T16:49:20.135713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 366
 
4.2%
1 366
 
4.2%
2 366
 
4.2%
3 366
 
4.2%
4 366
 
4.2%
5 366
 
4.2%
6 366
 
4.2%
7 366
 
4.2%
8 366
 
4.2%
9 366
 
4.2%
Other values (14) 5124
58.3%
ValueCountFrequency (%)
0 366
4.2%
1 366
4.2%
2 366
4.2%
3 366
4.2%
4 366
4.2%
5 366
4.2%
6 366
4.2%
7 366
4.2%
8 366
4.2%
9 366
4.2%
ValueCountFrequency (%)
23 366
4.2%
22 366
4.2%
21 366
4.2%
20 366
4.2%
19 366
4.2%
18 366
4.2%
17 366
4.2%
16 366
4.2%
15 366
4.2%
14 366
4.2%

day-of-week
Real number (ℝ)

High correlation  Zeros 

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9863388
Minimum0
Maximum6
Zeros1272
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:20.181696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile6
Maximum6
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.0034799
Coefficient of variation (CV)0.67088164
Kurtosis-1.2548531
Mean2.9863388
Median Absolute Deviation (MAD)2
Skewness0.008565751
Sum26232
Variance4.0139315
MonotonicityNot monotonic
2025-09-25T16:49:20.224999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 1272
14.5%
1 1272
14.5%
2 1248
14.2%
3 1248
14.2%
4 1248
14.2%
5 1248
14.2%
6 1248
14.2%
ValueCountFrequency (%)
0 1272
14.5%
1 1272
14.5%
2 1248
14.2%
3 1248
14.2%
4 1248
14.2%
5 1248
14.2%
6 1248
14.2%
ValueCountFrequency (%)
6 1248
14.2%
5 1248
14.2%
4 1248
14.2%
3 1248
14.2%
2 1248
14.2%
1 1272
14.5%
0 1272
14.5%

day-of-year
Real number (ℝ)

High correlation 

Distinct366
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.5
Minimum1
Maximum366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:20.281526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q192
median183.5
Q3275
95-th percentile348
Maximum366
Range365
Interquartile range (IQR)183

Descriptive statistics

Standard deviation105.66072
Coefficient of variation (CV)0.57580774
Kurtosis-1.2000179
Mean183.5
Median Absolute Deviation (MAD)91.5
Skewness0
Sum1611864
Variance11164.188
MonotonicityIncreasing
2025-09-25T16:49:20.342360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366 24
 
0.3%
1 24
 
0.3%
2 24
 
0.3%
3 24
 
0.3%
4 24
 
0.3%
5 24
 
0.3%
6 24
 
0.3%
7 24
 
0.3%
8 24
 
0.3%
9 24
 
0.3%
Other values (356) 8544
97.3%
ValueCountFrequency (%)
1 24
0.3%
2 24
0.3%
3 24
0.3%
4 24
0.3%
5 24
0.3%
6 24
0.3%
7 24
0.3%
8 24
0.3%
9 24
0.3%
10 24
0.3%
ValueCountFrequency (%)
366 24
0.3%
365 24
0.3%
364 24
0.3%
363 24
0.3%
362 24
0.3%
361 24
0.3%
360 24
0.3%
359 24
0.3%
358 24
0.3%
357 24
0.3%

month
Real number (ℝ)

High correlation 

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5136612
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size68.8 KiB
2025-09-25T16:49:20.397042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.4514304
Coefficient of variation (CV)0.52987564
Kurtosis-1.2110355
Mean6.5136612
Median Absolute Deviation (MAD)3
Skewness-0.0058111443
Sum57216
Variance11.912372
MonotonicityIncreasing
2025-09-25T16:49:20.445713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 744
8.5%
3 744
8.5%
7 744
8.5%
5 744
8.5%
12 744
8.5%
10 744
8.5%
8 744
8.5%
4 720
8.2%
9 720
8.2%
6 720
8.2%
Other values (2) 1416
16.1%
ValueCountFrequency (%)
1 744
8.5%
2 696
7.9%
3 744
8.5%
4 720
8.2%
5 744
8.5%
6 720
8.2%
7 744
8.5%
8 744
8.5%
9 720
8.2%
10 744
8.5%
ValueCountFrequency (%)
12 744
8.5%
11 720
8.2%
10 744
8.5%
9 720
8.2%
8 744
8.5%
7 744
8.5%
6 720
8.2%
5 744
8.5%
4 720
8.2%
3 744
8.5%

quarter
Categorical

High correlation 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size514.8 KiB
4.0
2208 
3.0
2208 
2.0
2184 
1.0
2184 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters26352
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
4.0 2208
25.1%
3.0 2208
25.1%
2.0 2184
24.9%
1.0 2184
24.9%

Length

2025-09-25T16:49:20.497492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-25T16:49:20.545221image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
4.0 2208
25.1%
3.0 2208
25.1%
2.0 2184
24.9%
1.0 2184
24.9%

Most occurring characters

ValueCountFrequency (%)
. 8784
33.3%
0 8784
33.3%
4 2208
 
8.4%
3 2208
 
8.4%
2 2184
 
8.3%
1 2184
 
8.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26352
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
. 8784
33.3%
0 8784
33.3%
4 2208
 
8.4%
3 2208
 
8.4%
2 2184
 
8.3%
1 2184
 
8.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26352
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
. 8784
33.3%
0 8784
33.3%
4 2208
 
8.4%
3 2208
 
8.4%
2 2184
 
8.3%
1 2184
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26352
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
. 8784
33.3%
0 8784
33.3%
4 2208
 
8.4%
3 2208
 
8.4%
2 2184
 
8.3%
1 2184
 
8.3%

is_weekend
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size514.8 KiB
0.0
6288 
1.0
2496 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters26352
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 6288
71.6%
1.0 2496
 
28.4%

Length

2025-09-25T16:49:20.597571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-25T16:49:20.642902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 6288
71.6%
1.0 2496
 
28.4%

Most occurring characters

ValueCountFrequency (%)
0 15072
57.2%
. 8784
33.3%
1 2496
 
9.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 26352
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 15072
57.2%
. 8784
33.3%
1 2496
 
9.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 26352
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 15072
57.2%
. 8784
33.3%
1 2496
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 26352
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 15072
57.2%
. 8784
33.3%
1 2496
 
9.5%

dewpoint
Real number (ℝ)

High correlation 

Distinct3896
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.194484
Minimum-0.37
Maximum34.37
Zeros1
Zeros (%)< 0.1%
Negative4
Negative (%)< 0.1%
Memory size68.8 KiB
2025-09-25T16:49:20.696489image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.37
5-th percentile4.65
Q112.815
median20.82
Q326.4
95-th percentile28.98
Maximum34.37
Range34.74
Interquartile range (IQR)13.585

Descriptive statistics

Standard deviation8.1093292
Coefficient of variation (CV)0.42248228
Kurtosis-0.98710335
Mean19.194484
Median Absolute Deviation (MAD)6.38
Skewness-0.47411997
Sum168604.35
Variance65.761221
MonotonicityNot monotonic
2025-09-25T16:49:20.759667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 49
 
0.6%
28.1 47
 
0.5%
27.8 42
 
0.5%
28.2 40
 
0.5%
28 33
 
0.4%
28.6 29
 
0.3%
28.3 28
 
0.3%
28.4 28
 
0.3%
27.7 25
 
0.3%
27.5 24
 
0.3%
Other values (3886) 8439
96.1%
ValueCountFrequency (%)
-0.37 1
< 0.1%
-0.27 1
< 0.1%
-0.25 1
< 0.1%
-0.15 1
< 0.1%
0 1
< 0.1%
0.12 1
< 0.1%
0.15 1
< 0.1%
0.17 1
< 0.1%
0.4 1
< 0.1%
0.42 1
< 0.1%
ValueCountFrequency (%)
34.37 1
< 0.1%
34.3 1
< 0.1%
34.3 1
< 0.1%
33.8 1
< 0.1%
33.65 1
< 0.1%
33.55 2
< 0.1%
33.52 2
< 0.1%
33.4 1
< 0.1%
33.33 1
< 0.1%
33.3 2
< 0.1%

Interactions

2025-09-25T16:49:15.497405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:44.601540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.777576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:47.171600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.413443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.642520image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.986682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:52.198164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.665936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.889325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:56.089732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.496395image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.657696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:00.150967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.328484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.485691image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.935339image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:05.169349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.569327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.833480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:09.046708image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.503827image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.675458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.902270image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.336091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.543568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:44.697634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.820926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:47.222582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.460813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.862792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:51.032816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:52.244640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.713202image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.935814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:56.138515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.540099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.701842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:00.195935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.373198image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.545099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.983294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:05.215091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.617663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.878658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:09.093937image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2025-09-25T16:49:11.315563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.531219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:13.952152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.134740image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.397686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.453309image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:46.839303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.076182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.325985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.657901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:51.858984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.322258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.549860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:55.758786image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.153767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.341286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:59.785877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.012075image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.163131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.603746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:04.832743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.034876image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.486321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.714438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.191477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.363990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.579261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.002927image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.183139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.445714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.493117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:46.884972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.121942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.372389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.705341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:51.902256image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.368519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.596263image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:55.803698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.195709image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.383958image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:59.833466image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.055627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.205577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.650522image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:04.880116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.080118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.534280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.757020image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.235242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.405516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.625057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.049554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.225343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.490077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.534836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:46.929234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.167623image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.416203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.755403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:51.948127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.413779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.640745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:55.849507image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.260450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.430262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:59.880117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.097779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.249120image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.696376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:04.925765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.123278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.581566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.804537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.276011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.449936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.670700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.097885image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.269236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.536983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.576010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:46.973511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.212473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.459511image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.799862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:51.991725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.460883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.688510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:55.894906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.307005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.474405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:59.929735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.143568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.291983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.742784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:04.971912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.373459image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.625622image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.852717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.319695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.490058image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.713657image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.140605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.311147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.776260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.623440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:47.023574image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.260384image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.506327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.845095image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:52.049054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.509531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.736007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:55.941157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.352185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.519341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:59.979542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.188581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.337898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.789220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:05.020011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.419629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.676746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.904819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.365005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.538253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.762563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.188635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.356478image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.828005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.677810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:47.073999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.312986image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.552745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.891832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:52.107599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.561609image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.788341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:55.990350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.406839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.567230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:00.039480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.237154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.384269image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.840180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:05.071461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.471345image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.727093image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.955608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.412083image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.585896image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.809254image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.236318image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.403627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:16.872933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:45.727355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:47.122291image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:48.360142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:49.596449image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:50.935881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:52.150307image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:53.611385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:54.840230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:56.037983image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:57.449523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:48:58.610809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:00.099288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:01.281234image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:02.427852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:03.885446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:05.117660image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:06.516257image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:07.778727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:08.998758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:10.457040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:11.628293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:12.854628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:14.286248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2025-09-25T16:49:15.447989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2025-09-25T16:49:21.031812image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
AT (°C)BP (mmHg)Benzene (µg/m³)CO (mg/m³)NH3 (µg/m³)NO (µg/m³)NO2 (µg/m³)NOx (ppb)Ozone (µg/m³)PM10 (µg/m³)PM2.5 (µg/m³)SO2 (µg/m³)SR (W/mt2)Toluene (µg/m³)VWS (m/s)Xylene (µg/m³)day-of-weekday-of-yeardewpointhouris_weekendmonthquartertotal_cloud_covertotal_precipitationu_comp_windv_comp_wind
AT (°C)1.0000.487-0.316-0.329-0.615-0.317-0.339-0.4580.306-0.231-0.3740.0870.266-0.301-0.111-0.2720.0040.3060.8310.0930.0330.3080.5780.0230.055-0.303-0.101
BP (mmHg)0.4871.000-0.433-0.252-0.673-0.156-0.433-0.4280.273-0.173-0.2550.1220.010-0.329-0.113-0.0240.0010.5680.517-0.0130.0350.5710.580-0.0160.039-0.1170.020
Benzene (µg/m³)-0.316-0.4331.0000.2350.2900.0920.5910.420-0.1880.3700.2610.1610.0220.9100.0480.0100.002-0.742-0.556-0.0870.044-0.7460.327-0.088-0.1870.033-0.105
CO (mg/m³)-0.329-0.2520.2351.0000.3100.3080.4090.481-0.1730.3380.4360.135-0.2630.330-0.0920.318-0.0480.024-0.2750.0000.0330.0150.259-0.198-0.1970.3530.073
NH3 (µg/m³)-0.615-0.6730.2900.3101.0000.2930.4190.534-0.2120.2700.383-0.150-0.0860.2650.1360.1960.005-0.307-0.5480.0030.070-0.3110.480-0.021-0.0470.1580.044
NO (µg/m³)-0.317-0.1560.0920.3080.2931.000-0.0010.787-0.4920.1050.251-0.038-0.2420.222-0.0230.5590.0330.032-0.125-0.3060.0810.0310.1950.1600.1660.2920.323
NO2 (µg/m³)-0.339-0.4330.5910.4090.419-0.0011.0000.535-0.0120.4460.4060.101-0.0160.587-0.068-0.0220.015-0.362-0.5450.0980.061-0.3700.502-0.348-0.4120.166-0.153
NOx (ppb)-0.458-0.4280.4200.4810.5340.7870.5351.000-0.4520.3550.446-0.011-0.2010.5070.0230.4380.024-0.231-0.422-0.2150.085-0.2320.309-0.051-0.0940.3460.141
Ozone (µg/m³)0.3060.273-0.188-0.173-0.212-0.492-0.012-0.4521.0000.001-0.1040.2260.313-0.129-0.067-0.3420.0060.3570.2450.1300.0320.3540.231-0.146-0.092-0.358-0.204
PM10 (µg/m³)-0.231-0.1730.3700.3380.2700.1050.4460.3550.0011.0000.8760.100-0.0300.4350.1060.233-0.041-0.087-0.274-0.0470.045-0.0900.414-0.416-0.4540.167-0.130
PM2.5 (µg/m³)-0.374-0.2550.2610.4360.3830.2510.4060.446-0.1040.8761.0000.036-0.1220.3460.0760.328-0.0400.029-0.280-0.1010.0370.0240.358-0.381-0.4030.3000.009
SO2 (µg/m³)0.0870.1220.1610.135-0.150-0.0380.101-0.0110.2260.1000.0361.000-0.0180.198-0.095-0.0040.0280.0480.004-0.0310.0000.0450.081-0.075-0.050-0.064-0.016
SR (W/mt2)0.2660.0100.022-0.263-0.086-0.242-0.016-0.2010.313-0.030-0.122-0.0181.000-0.0700.052-0.504-0.006-0.0700.1730.0080.000-0.0660.1470.0840.037-0.562-0.158
Toluene (µg/m³)-0.301-0.3290.9100.3300.2650.2220.5870.507-0.1290.4350.3460.198-0.0701.000-0.0070.1410.016-0.526-0.489-0.1030.033-0.5320.272-0.171-0.2290.133-0.068
VWS (m/s)-0.111-0.1130.048-0.0920.136-0.023-0.0680.023-0.0670.1060.076-0.0950.052-0.0071.000-0.032-0.035-0.177-0.124-0.0460.037-0.1680.1630.036-0.002-0.085-0.025
Xylene (µg/m³)-0.272-0.0240.0100.3180.1960.559-0.0220.438-0.3420.2330.328-0.004-0.5040.141-0.0321.0000.0230.135-0.107-0.2390.0270.1280.183-0.0240.0070.4160.196
day-of-week0.0040.0010.002-0.0480.0050.0330.0150.0240.006-0.041-0.0400.028-0.0060.016-0.0350.0231.0000.0070.0030.0001.0000.0060.0000.0220.024-0.0150.011
day-of-year0.3060.568-0.7420.024-0.3070.032-0.362-0.2310.357-0.0870.0290.048-0.070-0.526-0.1770.1350.0071.0000.5640.0000.0230.9970.927-0.1090.0280.0560.145
dewpoint0.8310.517-0.556-0.275-0.548-0.125-0.545-0.4220.245-0.274-0.2800.0040.173-0.489-0.124-0.1070.0030.5641.0000.0330.0860.5630.5190.0700.144-0.1670.094
hour0.093-0.013-0.0870.0000.003-0.3060.098-0.2150.130-0.047-0.101-0.0310.008-0.103-0.046-0.2390.0000.0000.0331.0000.0000.0000.000-0.052-0.0560.005-0.080
is_weekend0.0330.0350.0440.0330.0700.0810.0610.0850.0320.0450.0370.0000.0000.0330.0370.0271.0000.0230.0860.0001.0000.0450.0000.0570.0280.0000.064
month0.3080.571-0.7460.015-0.3110.031-0.370-0.2320.354-0.0900.0240.045-0.066-0.532-0.1680.1280.0060.9970.5630.0000.0451.0001.000-0.1080.0310.0530.135
quarter0.5780.5800.3270.2590.4800.1950.5020.3090.2310.4140.3580.0810.1470.2720.1630.1830.0000.9270.5190.0000.0001.0001.0000.3470.0820.2220.283
total_cloud_cover0.023-0.016-0.088-0.198-0.0210.160-0.348-0.051-0.146-0.416-0.381-0.0750.084-0.1710.036-0.0240.022-0.1090.070-0.0520.057-0.1080.3471.0000.547-0.1690.237
total_precipitation0.0550.039-0.187-0.197-0.0470.166-0.412-0.094-0.092-0.454-0.403-0.0500.037-0.229-0.0020.0070.0240.0280.144-0.0560.0280.0310.0820.5471.000-0.1630.245
u_comp_wind-0.303-0.1170.0330.3530.1580.2920.1660.346-0.3580.1670.300-0.064-0.5620.133-0.0850.416-0.0150.056-0.1670.0050.0000.0530.222-0.169-0.1631.0000.024
v_comp_wind-0.1010.020-0.1050.0730.0440.323-0.1530.141-0.204-0.1300.009-0.016-0.158-0.068-0.0250.1960.0110.1450.094-0.0800.0640.1350.2830.2370.2450.0241.000

Missing values

2025-09-25T16:49:16.953574image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-09-25T16:49:17.112368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

PM2.5 (µg/m³)PM10 (µg/m³)NO (µg/m³)NO2 (µg/m³)NOx (ppb)NH3 (µg/m³)SO2 (µg/m³)CO (mg/m³)Ozone (µg/m³)Benzene (µg/m³)Toluene (µg/m³)Xylene (µg/m³)AT (°C)SR (W/mt2)BP (mmHg)VWS (m/s)total_cloud_covertotal_precipitationu_comp_windv_comp_windhourday-of-weekday-of-yearmonthquarteris_weekenddewpoint
0185.67276.2539.9849.8589.8581.782.030.6923993.800.951.000.579.224.60975.750.00.9948100.000000e+00-0.5657510.0694660.00.01.01.01.00.06.376
1168.75244.7540.3048.3088.6281.781.600.8923953.700.820.900.229.178.70975.880.01.0000000.000000e+000.036669-0.3178921.00.01.01.01.00.06.380
2183.25261.2538.4048.6587.1077.201.200.4742953.380.900.900.208.958.43975.900.01.0000000.000000e+00-0.482813-0.1931112.00.01.01.01.00.06.190
3176.00251.2539.5247.9587.5077.721.230.6134063.400.900.900.229.008.45975.680.01.0000000.000000e+00-0.223898-0.2690173.00.01.01.01.00.06.260
4177.25255.0037.7047.7285.4879.602.170.5994483.280.880.900.438.858.35975.650.00.9948100.000000e+000.191245-0.4073394.00.01.01.01.00.06.086
5170.00252.5037.0247.5584.5879.082.700.6174343.200.780.880.328.628.00975.680.00.6776210.000000e+00-0.013612-0.5198225.00.01.01.01.00.05.896
6163.50244.7534.9046.9281.8278.382.880.8466493.350.720.900.258.454.50975.820.00.7519480.000000e+000.162780-0.8036816.00.01.01.01.00.05.690
7158.00242.5034.2545.9080.1277.852.330.6647042.780.701.050.258.184.60975.800.00.4154560.000000e+00-0.349942-0.6292387.00.01.01.01.00.05.396
8149.00239.7533.4846.4079.8078.222.330.6086742.980.681.020.258.408.18975.820.00.0053119.313226e-10-0.265208-0.5934358.00.01.01.01.00.05.584
9156.75245.2533.9544.7578.7278.502.300.8279142.680.680.900.188.8526.52975.800.00.0053450.000000e+00-0.245571-0.5143889.00.01.01.01.00.05.794
PM2.5 (µg/m³)PM10 (µg/m³)NO (µg/m³)NO2 (µg/m³)NOx (ppb)NH3 (µg/m³)SO2 (µg/m³)CO (mg/m³)Ozone (µg/m³)Benzene (µg/m³)Toluene (µg/m³)Xylene (µg/m³)AT (°C)SR (W/mt2)BP (mmHg)VWS (m/s)total_cloud_covertotal_precipitationu_comp_windv_comp_windhourday-of-weekday-of-yearmonthquarteris_weekenddewpoint
8774181.0223.08.40105.3062.8257.603.0800002.1089.520.2215612.1606810.14749720.5864.50986.0-0.020.7259670.000000e+00-0.5630490.25956914.01.0366.012.04.00.013.03
8775190.0257.07.57118.7569.3059.753.2800001.8676.200.2331922.2588640.32498019.8343.75986.0-0.020.6025350.000000e+00-0.116723-0.48618515.01.0366.012.04.00.012.93
8776225.0310.06.90115.1066.8061.505.8000001.8876.120.2410081.4292170.40736617.8821.50986.0-0.020.5637241.084069e-060.052815-0.31561116.01.0366.012.04.00.012.08
8777235.0317.06.40114.4566.1261.785.0500001.9250.480.1764800.7755730.46236914.786.00986.0-0.020.5499481.165631e-050.143148-0.26364517.01.0366.012.04.00.010.53
8778234.0310.07.35102.1260.3560.323.2000001.9435.250.1790620.7888800.46237112.453.00986.0-0.020.5531470.000000e+000.058527-0.29423618.01.0366.012.04.00.09.55
8779193.0245.08.8580.2549.8857.624.4200001.8224.800.1478930.6131880.39753811.053.00986.0-0.020.4363952.469840e-06-0.058527-0.29423619.01.0366.012.04.00.08.80
8780165.0226.012.6076.1050.7256.403.9500001.9426.550.0939180.6450010.34992810.353.25986.0-0.020.3989091.365314e-06-0.119625-0.27511820.01.0366.012.04.00.08.50
8781181.0222.020.8076.1857.4856.850.5000002.0929.550.1937301.1320160.3074849.904.25986.0-0.020.4493862.058200e-06-0.058527-0.29423621.01.0366.012.04.00.08.25
8782210.0245.043.6891.8584.4057.3812.0807182.4735.700.2134261.3970840.3850879.604.00986.0-0.020.4136281.776954e-06-0.129153-0.27077622.01.0366.012.04.00.08.20
8783244.0284.051.9898.1894.5057.4013.7023212.4837.200.1405180.8335750.5875239.124.00986.0-0.020.3392118.232799e-07-0.124408-0.27298823.01.0366.012.04.00.07.77